Výsledky vyhledávání - Stacked pruning sparse denoising autoencoder

RETRACTED: A Novel Day- ahead Electricity Price Forecasting Using multi-modal combined Integration via Stacked Pruning Sparse Denoising Auto Encoder

Autoři: Leiming Li Sara Saeedi Bingquan Liu a další

Zdroj: Energy Reports, Vol 7, Iss, Pp 2201-2213 (2021)

Témata: Electricity Price Forecasting, Sufficient Dimension Reduction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Deep Neural Network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Stacked pruning sparse denoising autoencoder, Maximum Separation Subspace, 7. Clean energy, Tensor Canonical Correlation Analysis, TK1-9971

Přístupová URL adresa: https://doaj.org/article/3b490787f5db41ffbe39b973c6cbc800
https://www.sciencedirect.com/science/article/abs/pii/S2352484721002249
https://www.sciencedirect.com/science/article/pii/S2352484721002249

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network

Autoři: Pu Yang Chenwan Wen Huilin Geng a další

Zdroj: Machines, Vol 9, Iss 12, p 360 (2021)

Témata: intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-1702/9/12/360; https://doaj.org/toc/2075-1702

Přístupová URL adresa: https://doaj.org/article/57fd1ddf636d4ff7816cfd2cd17bcfcf

Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings

Autoři: Haiping Zhu Jiaxin Cheng Cong Zhang a další

Zdroj: Applied Soft Computing. 88:106060

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1568494619308439
https://dblp.uni-trier.de/db/journals/asc/asc88.html#ZhuCZWS20
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002290341314510

Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings.

Autoři: Zhu, Haiping Cheng, Jiaxin Zhang, Cong a další

Zdroj: Applied Soft Computing. Mar2020, Vol. 88, pN.PAG-N.PAG. 1p.

Témata: Fault diagnosis, Pruning, Knowledge transfer, Information networks, Intelligent transportation systems, Bears, Redundancy in engineering, Video coding

Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network.

Autoři: Yang, Pu Wen, Chenwan Geng, Huilin a další

Zdroj: Machines; Dec2021, Vol. 9 Issue 12, p360-360, 1p

Témata: CONVOLUTIONAL neural networks, FAULT diagnosis, ARTIFICIAL neural networks, DIAGNOSIS, DEEP learning, DRONE aircraft

SPR: Malicious traffic detection model for CTCS-3 in railways.

Autoři: Siyang Zhou Wenjiang Ji Xinhong Hei a další

Zdroj: High-speed Railway; Jun2025, Vol. 3 Issue 2, p105-115, 11p

Témata: EXTREME learning machines, TRAFFIC monitoring, AUTOENCODERS, INDUSTRIAL controls manufacturing, MACHINE learning

An Advanced Immersion Level Prediction Using Ensemble Classifier with Heuristic Search Algorithm in 3D Games Content Generated Virtual Environments.

Autoři: Sundararajan, Kamalanathan Santhanam, Prasanna

Zdroj: Fusion: Practice & Applications; 2026, Vol. 21 Issue 1, p277-292, 16p

Témata: ARTIFICIAL intelligence, METAHEURISTIC algorithms, LONG short-term memory, AUTOENCODERS, HEURISTIC

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

Autoři: Yang, Eunmok Jeong, Sooyong Seo, Changho

Zdroj: Scientific Reports; 5/20/2025, Vol. 15 Issue 1, p1-15, 15p

Témata: CYBERTERRORISM, DENIAL of service attacks, OPTIMIZATION algorithms, ARTIFICIAL intelligence, FISH migration

Semi-supervised denoising autoencoder with multiple consistency regularization for process fault classification.

Autoři: Guo, Xiaoping Guo, Qingyu Li, Yuan

Zdroj: Engineering Research Express; Sep2025, Vol. 7 Issue 3, p1-19, 19p

Deep Learning-Based Machinery Fault Diagnostics

Přispěvatelé: Chen, Hongtian Zhong, Kai Ran, Guangtao a další

Témata: process monitoring, dynamics, variable time lag, dynamic autoregressive latent variables model, sintering process, hammerstein output-error systems, auxiliary model, multi-innovation identification theory, fractional-order calculus theory, canonical variate analysis, disturbance detection, power transmission system, k-nearest neighbor analysis, statistical local analysis, intelligent fault diagnosis, stacked pruning sparse denoising autoencoder, convolutional neural network, anti-noise, flywheel fault diagnosis, belief rule base, fuzzy fault tree analysis, Bayesian network, evidential reasoning, aluminum reduction process, alumina concentration, subspace identification, distributed predictive control, spatiotemporal feature fusion, gated recurrent unit, attention mechanism

Popis souboru: application/octet-stream

Relation: ONIX_20221025_9783036551739_23; https://mdpi.com/books/pdfview/book/6065

Dostupnost: https://directory.doabooks.org/handle/20.500.12854/93169
https://hdl.handle.net/20.500.12854/93169
https://mdpi.com/books/pdfview/book/6065

Ultrasonic guided Wave Signal Denoising Method Based on one-dimensional convolution and Full connection Model Fusion Denoising autoencoder.

Autoři: Yang, Yingfeng Qiu, Guangwen Lin, Yizhou a další

Zdroj: Journal of Physics: Conference Series; 2024, Vol. 2822 Issue 1, p1-12, 12p

Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network.

Autoři: Che, Changchang Wang, Huawei Ni, Xiaomei a další

Zdroj: Industrial Lubrication & Tribology; 2020, Vol. 72 Issue 7, p947-953, 7p

Témata: CONVOLUTIONAL neural networks, FAULT diagnosis, ROLLER bearings, DIAGNOSIS, TIME series analysis, GOLGI apparatus

A practical intrusion detection system based on denoising autoencoder and LightGBM classifier with improved detection performance.

Autoři: Ayubkhan, Sheikh Abdul Hameed Yap, Wun-She Morris, Ezra a další

Zdroj: Journal of Ambient Intelligence & Humanized Computing; Jun2023, Vol. 14 Issue 6, p7427-7452, 26p

Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction.

Autoři: Zhang, Lin Wang, Jixin Chang, Rui a další

Zdroj: Scientific Reports; 4/21/2024, Vol. 14 Issue 1, p1-12, 12p

Témata: HEPATITIS C, DEEP learning, FEATURE extraction, HEPATITIS C virus, VIRAL hepatitis, AUDITORY masking, MACHINE learning

Semisupervised fault diagnosis of aeroengine based on denoising autoencoder and deep belief network.

Autoři: Lv, Defeng Wang, Huawei Che, Changchang

Zdroj: Aircraft Engineering & Aerospace Technology; 2022, Vol. 94 Issue 10, p1772-1779, 8p

Témata: SUPERVISED learning, FAULT diagnosis, DEEP learning, BOLTZMANN machine, TIME series analysis, DIAGNOSIS

Taxonomy-aware collaborative denoising autoencoder for personalized recommendation.

Autoři: Zhang, Chunhong Li, Tiantian Ren, Zhibin a další

Zdroj: Applied Intelligence; Jun2019, Vol. 49 Issue 6, p2101-2118, 18p

Témata: TAXONOMY, RECOMMENDER systems, VIDEO coding

Current status and challenges in electroencephalography (EEG)-based driver fatigue detection: a comprehensive survey.

Autoři: Hassan, Jahid Naziullah, Shekh Rashid, Mamunur a další

Zdroj: Cognitive Neurodynamics; 9/1/2025, Vol. 19 Issue 1, p1-38, 38p

A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications.

Autoři: Zhang, Yumin Wang, Yanyong

Zdroj: EURASIP Journal on Image & Video Processing; 8/13/2025, Vol. 2025 Issue 1, p1-65, 65p

Témata: HUMAN activity recognition, COMPUTER vision, DEPTH maps (Digital image processing), ALGORITHMS, TRANSFORMER models, RECURRENT neural networks, DEEP learning, CONVOLUTIONAL neural networks

Hierarchical Osprey Residual Attentional Soft Capsule Citrus Model (HORASC²M) for Citrus Plant Disease Classification.

Autoři: Patil, Varsha Santosh Bora, Rina Kamalkumar

Zdroj: Cognitive Computation; Aug2025, Vol. 17 Issue 4, p1-22, 22p

A review of hybrid EEG-based multimodal human–computer interfaces using deep learning: applications, advances, and challenges.

Autoři: Lee, Hyung-Tak Shim, Miseon Liu, Xianghong a další

Zdroj: Biomedical Engineering Letters; Jul2025, Vol. 15 Issue 4, p587-618, 32p